Improving mobile game performance with basic optimization techniques in unity
G Koulaxidis, S Xinogalos - Modelling, 2022 - mdpi.com
Creating video games can be a very complex process, which requires taking into account
various hardware and software limitations. This process is even more complex for mobile …
various hardware and software limitations. This process is even more complex for mobile …
Cost-Efficient Task Offloading in Mobile Edge Computing With Layered Unmanned Aerial Vehicles
Mobile edge computing (MEC) paradigm supports cloud-like computing capabilities at the
edge of the network and offers low-latency services. Proxy servers of MEC with mobility and …
edge of the network and offers low-latency services. Proxy servers of MEC with mobility and …
Microkernel Goes General: Performance and Compatibility in the {HongMeng} Production Microkernel
The virtues of security, reliability, and extensibility have made state-of-the-art microkernels
prevalent in embedded and safety-critical scenarios. However, they face performance and …
prevalent in embedded and safety-critical scenarios. However, they face performance and …
A workload-aware dvfs robust to concurrent tasks for mobile devices
Power governing is a critical component of modern mobile devices, reducing heat
generation and extending device battery life. A popular technology of power governing is …
generation and extending device battery life. A popular technology of power governing is …
Do popular apps have issues regarding energy efficiency?
C Sahin - PeerJ Computer Science, 2024 - peerj.com
Mobile apps have become essential components of our daily lives, seamlessly integrating
into routines to fulfill communication, productivity, entertainment, and commerce needs, with …
into routines to fulfill communication, productivity, entertainment, and commerce needs, with …
QoS-Aware Power Management via Scheduling and Governing Co-Optimization on Mobile Devices
Scheduling and governing are two key technologies to trade off the Quality of Service (QoS)
against the power consumption on mobile devices with heterogeneous cores. However …
against the power consumption on mobile devices with heterogeneous cores. However …
[HTML][HTML] Evaluating the Energy Efficiency of Popular US Smartphone Health Care Apps: Comparative Analysis Study Toward Sustainable Health and Nutrition Apps …
A Almasri, TY El-Kour, L Silva… - JMIR Human …, 2024 - humanfactors.jmir.org
Background The emergence of smartphones has sparked a transformation across multiple
fields, with health care being one of the most notable due to the advent of mobile health …
fields, with health care being one of the most notable due to the advent of mobile health …
Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems
Current mobile edge computing (MEC) owns cloud resources at the network edge, which
enables low-latency mobile services. In addition to fixed MEC servers, MEC proxy servers …
enables low-latency mobile services. In addition to fixed MEC servers, MEC proxy servers …
A Learning-Based and Network-Aware Power Management for Mobile Devices
J Zhang, J Huang, L Peng, X Liu, J Yu… - 2024 IEEE 48th …, 2024 - ieeexplore.ieee.org
This paper proposes a deep reinforcement learning-based power management method for
mobile devices. By learning the load characteristics of the device under different usage …
mobile devices. By learning the load characteristics of the device under different usage …
Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile Architectures
In the age of AI, mobile architectures such as smartphones are still “cold machines”;
machines do not feel. If the architecture is able to feel users' feelings and runtime user …
machines do not feel. If the architecture is able to feel users' feelings and runtime user …